The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-09-12"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "28759036 (up from 28481413 yesterday: 0.97 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "920231 (up from 915356 yesterday: 0.53 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5555504

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.2



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6485214 41471 0.64 818102 193693 714 0.37 2.99
India 4754356 94372 2.03 1709416 78586 1114 1.44 1.65
Brazil 4315687 33523 0.78 733325 131210 814 0.62 3.04
Russia 1053663 5406 0.52 104132 18426 117 0.64 1.75
Peru 716670 6603 0.93 140603 30470 126 0.42 4.25
Colombia 708964 6876 0.98 186826 22734 216 0.96 3.21
Mexico 663973 5674 0.86 107757 70604 421 0.60 10.63
South Africa 648214 1816 0.28 41169 15427 49 0.32 2.38
Spain 566326 0 0.00 180272 29747 0 0.00 5.25
Argentina 546481 10776 2.01 209679 11263 115 1.03 2.06
Chile 432666 2131 0.49 36958 11895 45 0.38 2.75
France 402811 921 0.23 127249 30902 1 0.00 7.67
Iran 399940 2139 0.54 43148 23029 116 0.51 5.76
United Kingdom 367592 3504 0.96 40997 41712 9 0.02 11.35
Bangladesh 336044 1282 0.38 43419 4702 34 0.73 1.40
Saudi Arabia 325050 643 0.20 18680 4240 27 0.64 1.30
Pakistan 301481 526 0.17 9307 6379 6 0.09 2.12
Turkey 289635 1509 0.52 32603 6999 48 0.69 2.42
Iraq 286778 4106 1.45 85728 7941 60 0.76 2.77
Italy 286297 1501 0.53 28161 35603 6 0.02 12.44
Germany 260817 1082 0.42 26956 9352 4 0.04 3.59
Philippines 257863 4899 1.94 70614 4292 184 4.48 1.66
Indonesia 214746 3806 1.80 63248 8650 106 1.24 4.03
Ukraine 155558 3185 2.09 50221 3206 74 2.36 2.06
Israel 152722 4158 2.80 50789 1103 13 1.19 0.72
Canada 138164 488 0.35 11604 9220 6 0.07 6.67
Bolivia 125982 810 0.65 17555 7297 47 0.65 5.79
Qatar 121523 236 0.19 4758 205 0 0.00 0.17
Ecuador 116451 1719 1.50 9362 10864 28 0.26 9.33
Kazakhstan 106803 74 0.07 2260 1634 0 0.00 1.53
Dominican Republic 103092 860 0.84 12531 1953 12 0.62 1.89
Romania 102386 1311 1.30 24842 4127 27 0.66 4.03
Panama 101041 711 0.71 15561 2155 15 0.70 2.13
Egypt 100856 148 0.15 3619 5627 20 0.36 5.58
Kuwait 94211 736 0.79 14254 558 1 0.18 0.59
Belgium 92478 941 1.03 11010 9923 4 0.04 10.73
China 90168 23 0.03 514 4734 1 0.02 5.25
Oman 88337 0 0.00 4568 762 0 0.00 0.86
Sweden 86505 0 0.00 437 5846 0 0.00 6.76
Netherlands 84709 1339 1.61 16658 6291 1 0.02 7.43
Morocco 84435 2238 2.72 33623 1553 29 1.90 1.84
Guatemala 81658 649 0.80 13802 2949 20 0.68 3.61
United Arab Emirates 78849 1007 1.29 12232 399 1 0.25 0.51
Japan 75206 648 0.87 13290 1441 13 0.91 1.92
Belarus 73975 191 0.26 3690 744 6 0.81 1.01
Poland 73650 603 0.83 12469 2182 13 0.60 2.96
Honduras 67136 1087 1.65 13153 2065 7 0.34 3.08
Ethiopia 63888 521 0.82 24855 996 10 1.01 1.56
Portugal 63310 497 0.79 7858 1860 5 0.27 2.94
Venezuela 59630 967 1.65 20673 477 9 1.92 0.80
Bahrain 59586 747 1.27 10548 211 3 1.44 0.35
Singapore 57357 42 0.07 1091 27 0 0.00 0.05
Nigeria 56177 160 0.29 4272 1078 2 0.19 1.92
Costa Rica 55454 1485 2.75 22370 590 7 1.20 1.06
Nepal 53120 1201 2.31 22003 336 14 4.35 0.63
Algeria 48007 255 0.53 6939 1605 6 0.38 3.34
Uzbekistan 46721 561 1.22 8189 384 7 1.86 0.82
Switzerland 46704 465 1.01 7077 2020 0 0.00 4.33
Armenia 45675 172 0.38 3059 911 2 0.22 1.99
Ghana 45434 46 0.10 2109 286 1 0.35 0.63
Kyrgyzstan 44828 67 0.15 1939 1063 0 0.00 2.37
Moldova 42714 531 1.26 9642 1117 3 0.27 2.62
Afghanistan 38641 35 0.09 688 1420 0 0.00 3.67
Azerbaijan 38172 135 0.35 3067 559 2 0.36 1.46
Kenya 35969 176 0.49 3851 619 3 0.49 1.72
Czechia 35401 1541 4.55 13611 453 3 0.67 1.28
Austria 32696 869 2.73 7634 754 4 0.53 2.31
Serbia 32300 72 0.22 1752 731 1 0.14 2.26
Ireland 30730 159 0.52 2822 1783 2 0.11 5.80
West Bank and Gaza 29906 650 2.22 11430 210 6 2.94 0.70
Paraguay 27324 812 3.06 14350 514 18 3.63 1.88
El Salvador 26851 78 0.29 2431 782 5 0.64 2.91
Australia 26651 44 0.17 1840 810 7 0.87 3.04
Lebanon 23669 686 2.98 11478 239 10 4.37 1.01
Bosnia and Herzegovina 23138 304 1.33 5423 690 4 0.58 2.98
Libya 22348 440 2.01 11911 354 2 0.57 1.58
Korea, South 22176 121 0.55 4777 358 3 0.85 1.61
Cameroon 20009 0 0.00 1247 415 0 0.00 2.07
Denmark 19989 343 1.75 3352 630 1 0.16 3.15
Cote d’Ivoire 18916 0 0.00 1542 119 0 0.00 0.63
Bulgaria 17891 92 0.52 2760 717 4 0.56 4.01
Madagascar 15737 68 0.43 1460 210 1 0.48 1.33
North Macedonia 15694 139 0.89 2236 646 4 0.62 4.12
Senegal 14237 44 0.31 1387 295 2 0.68 2.07
Sudan 13470 0 0.00 788 834 0 0.00 6.19
Zambia 13466 143 1.07 2635 312 6 1.96 2.32
Croatia 13368 261 1.99 5468 218 7 3.32 1.63
Greece 13036 302 2.37 4655 302 2 0.67 2.32
Kosovo 12683 0 0.00 515 488 0 0.00 3.85
Norway 12079 76 0.63 1780 265 0 0.00 2.19
Hungary 11825 916 8.40 6692 633 2 0.32 5.35
Albania 11185 164 1.49 2910 330 3 0.92 2.95
Congo (Kinshasa) 10385 24 0.23 574 262 0 0.00 2.52
Guinea 10020 41 0.41 1088 63 0 0.00 0.63

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 758933 4028 0.53 94498 14327 97 0.68 1.89 19207.55 362.60 1 in 52
Texas 677716 2682 0.40 88367 14332 105 0.74 2.11 23372.84 494.28 1 in 43
Florida 661571 3190 0.48 63974 12600 98 0.78 1.90 30802.64 586.65 1 in 32
New York 443640 849 0.19 14475 33023 4 0.01 7.44 22805.08 1697.53 1 in 44
Georgia 292905 2124 0.73 40683 6287 41 0.66 2.15 27587.20 592.14 1 in 36
Illinois 261999 2120 0.82 42298 8527 22 0.26 3.25 20675.72 672.91 1 in 48
Arizona 208128 605 0.29 10233 5315 27 0.51 2.55 27331.70 697.97 1 in 37
New Jersey 196337 449 0.23 6991 16027 4 0.02 8.16 22104.57 1804.40 1 in 45
North Carolina 183738 1452 0.80 30098 3047 24 0.79 1.66 17518.74 290.52 1 in 57
Tennessee 170891 1032 0.61 28808 2064 39 1.93 1.21 25009.02 302.06 1 in 40
Louisiana 156174 0 0.00 14454 5202 0 0.00 3.33 33594.52 1119.00 1 in 30
Pennsylvania 148635 932 0.63 15475 7829 0 0.00 5.27 11610.31 611.55 1 in 86
Alabama 137646 943 0.69 23114 2350 17 0.73 1.71 28072.77 479.28 1 in 36
Ohio 136568 1242 0.92 22403 4411 8 0.18 3.23 11683.36 377.36 1 in 86
Virginia 132868 1297 0.99 20800 2722 11 0.41 2.05 15566.48 318.90 1 in 64
South Carolina 129978 932 0.72 18683 3040 12 0.40 2.34 25244.75 590.44 1 in 40
Massachusetts 124540 554 0.45 -820 9196 16 0.17 7.38 17920.71 1323.26 1 in 56
Michigan 123058 807 0.66 17014 6911 11 0.16 5.62 12321.99 692.01 1 in 81
Maryland 115533 809 0.71 12010 3836 8 0.21 3.32 19110.01 634.50 1 in 52
Indiana 104561 1056 1.02 19244 3437 17 0.50 3.29 15531.43 510.53 1 in 64
Missouri 102290 2022 2.02 27338 1728 8 0.47 1.69 16666.59 281.55 1 in 60
Mississippi 89620 445 0.50 12352 2685 15 0.56 3.00 30112.74 902.17 1 in 33
Wisconsin 87603 1353 1.57 17594 1209 12 1.00 1.38 15045.77 207.65 1 in 66
Minnesota 83588 872 1.05 14721 1958 9 0.46 2.34 14821.53 347.19 1 in 67
Washington 79476 465 0.59 8881 1991 0 0.00 2.51 10436.92 261.46 1 in 96
Iowa 74205 806 1.10 18209 1218 2 0.16 1.64 23519.29 386.05 1 in 43
Nevada 73220 414 0.57 8151 1449 10 0.69 1.98 23771.52 470.43 1 in 42
Arkansas 69710 1799 2.65 13511 969 16 1.68 1.39 23099.42 321.09 1 in 43
Oklahoma 68659 1017 1.50 16060 899 11 1.24 1.31 17351.40 227.19 1 in 58
Colorado 60876 414 0.68 6012 1988 3 0.15 3.27 10571.07 345.21 1 in 95
Utah 57247 572 1.01 8433 433 2 0.46 0.76 17856.44 135.06 1 in 56
Kentucky 56415 711 1.28 13349 1057 13 1.25 1.87 12627.38 236.59 1 in 79
Connecticut 54326 0 0.00 2807 4480 0 0.00 8.25 15237.48 1256.56 1 in 66
Kansas 48658 288 0.60 11270 526 10 1.94 1.08 16701.94 180.55 1 in 60
Nebraska 38120 269 0.71 6340 437 0 0.00 1.15 19706.29 225.91 1 in 51
Puerto Rico 37092 511 1.40 7515 535 12 2.29 1.44 11614.14 167.52 1 in 86
Idaho 35167 217 0.62 5508 415 3 0.73 1.18 19623.73 231.58 1 in 51
Oregon 29156 291 1.01 4446 505 6 1.20 1.73 6912.71 119.73 1 in 145
New Mexico 26661 98 0.37 2359 821 3 0.37 3.08 12714.91 391.54 1 in 79
Rhode Island 22905 0 0.00 1883 1071 0 0.00 4.68 21621.52 1010.99 1 in 46
Delaware 18726 167 0.90 1898 613 0 0.00 3.27 19230.53 629.52 1 in 52
South Dakota 16437 320 1.99 5302 183 6 3.39 1.11 18580.04 206.86 1 in 54
North Dakota 15151 467 3.18 5415 167 3 1.83 1.10 19881.58 219.14 1 in 50
District of Columbia 14493 0 0.00 959 616 0 0.00 4.25 20535.63 872.83 1 in 49
West Virginia 12528 351 2.88 3343 266 2 0.76 2.12 7010.06 148.84 1 in 143
Hawaii 10588 129 1.23 4232 97 1 1.04 0.92 7478.08 68.51 1 in 134
Montana 8925 140 1.59 2549 133 2 1.53 1.49 8350.66 124.44 1 in 120
New Hampshire 7652 32 0.42 558 435 1 0.23 5.68 5627.67 319.92 1 in 178
Alaska 6207 103 1.69 1530 44 1 2.33 0.71 8484.78 60.15 1 in 118
Maine 4834 42 0.88 516 135 1 0.75 2.79 3596.16 100.43 1 in 278
Wyoming 4297 33 0.77 754 42 0 0.00 0.98 7424.51 72.57 1 in 135
Vermont 1677 9 0.54 124 58 0 0.00 3.46 2687.55 92.95 1 in 372

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 12556967 758933 6.04 2120615 94498 4.46 317799.6
2 Texas 5454041 677716 12.43 813181 88367 10.87 188097.1
3 Florida 4901680 661571 13.50 499833 63974 12.80 228221.4
4 New York 9245625 443640 4.80 1698509 14475 0.85 475266.5
5 Georgia 2610171 292905 11.22 461001 40683 8.82 245838.5
6 Illinois 4691071 261999 5.59 1039969 42298 4.07 370197.1
7 Arizona 1288729 208128 16.15 144595 10233 7.08 169238.0
8 New Jersey 3141235 196337 6.25 492495 6991 1.42 353655.5
9 North Carolina 2581132 183738 7.12 529014 30098 5.69 246101.4
10 Tennessee 2442734 170891 7.00 434974 28808 6.62 357481.6
11 Louisiana 2037753 156174 7.66 298946 14454 4.83 438340.1
12 Pennsylvania 1807805 148635 8.22 267252 15475 5.79 141212.8
13 Alabama 1016369 137646 13.54 100087 23114 23.09 207287.5
14 Ohio 2567011 136568 5.32 606383 22403 3.69 219607.2
15 Virginia 1750110 132868 7.59 291635 20800 7.13 205038.5
16 South Carolina 1054872 129978 12.32 142740 18683 13.09 204880.7
17 Massachusetts 2968723 124540 4.20 1415050 -820 -0.06 427184.9
18 Michigan 3110610 123058 3.96 651571 17014 2.61 311470.4
19 Maryland 1444452 115533 8.00 224011 12010 5.36 238923.0
20 Indiana 1206980 104561 8.66 237334 19244 8.11 179284.1
21 Missouri 1113373 102290 9.19 208679 27338 13.10 181407.1
22 Mississippi 622539 89620 14.40 88917 12352 13.89 209176.0
23 Wisconsin 1357360 87603 6.45 171846 17594 10.24 233125.9
24 Minnesota 1222522 83588 6.84 171266 14721 8.60 216773.4
25 Washington 1614748 79476 4.92 594862 8881 1.49 212051.3
26 Iowa 678890 74205 10.93 100535 18209 18.11 215174.3
27 Nevada 637902 73220 11.48 67776 8151 12.03 207100.5
28 Arkansas 820000 69710 8.50 160862 13511 8.40 271718.9
29 Oklahoma 988835 68659 6.94 176901 16060 9.08 249897.0
30 Colorado 1097985 60876 5.54 179059 6012 3.36 190664.2
31 Utah 712229 57247 8.04 89866 8433 9.38 222157.9
32 Kentucky 930222 56415 6.06 181755 13349 7.34 208211.8
33 Connecticut 1330984 54326 4.08 308614 2807 0.91 373317.5
34 Kansas 448930 48658 10.84 82615 11270 13.64 154096.0
35 Nebraska 397354 38120 9.59 60772 6340 10.43 205413.8
37 Idaho 275610 35167 12.76 39757 5508 13.85 153794.6
38 Oregon 610104 29156 4.78 93640 4446 4.75 144652.0
39 New Mexico 812050 26661 3.28 107095 2359 2.20 387275.3
40 Rhode Island 615683 22905 3.72 160706 1883 1.17 581183.4
41 Delaware 259585 18726 7.21 39709 1898 4.78 266579.0
42 South Dakota 162609 16437 10.11 26979 5302 19.65 183809.8
43 North Dakota 515420 15151 2.94 326382 5415 1.66 676349.2
44 District of Columbia 327437 14493 4.43 64997 959 1.48 463956.7
45 West Virginia 478876 12528 2.62 87018 3343 3.84 267955.6
46 Hawaii 250039 10588 4.23 76489 4232 5.53 176597.2
47 Montana 278728 8925 3.20 69012 2549 3.69 260791.3
48 New Hampshire 229024 7652 3.34 34349 558 1.62 168435.8
49 Alaska 399629 6207 1.55 73342 1530 2.09 546280.8
50 Maine 325003 4834 1.49 97252 516 0.53 241779.6
51 Wyoming 86388 4297 4.97 21532 754 3.50 149264.2
52 Vermont 149661 1677 1.12 31057 124 0.40 239845.6

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1060308 116536 12.35 740061 69.80 290344 29531 2124 7.75 2.79
Andhra Pradesh 567123 50029 9.68 467139 82.37 95072 4912 352 7.72 0.87
Tamil Nadu 502759 27819 5.86 447366 88.98 47012 8381 366 4.57 1.67
Karnataka 459445 47255 11.46 352958 76.82 99203 7265 585 8.76 1.58
Uttar Pradesh 312036 33563 12.05 239485 76.75 68122 4429 382 9.44 1.42
Delhi 218304 21169 10.74 184698 84.61 28862 4744 126 2.73 2.17
West Bengal 202708 15752 8.43 175139 86.40 23624 3945 268 7.29 1.95
Bihar 158389 7695 5.11 143053 90.32 14513 822 57 7.45 0.52
Telangana 157096 11933 8.22 124528 79.27 31607 961 55 6.07 0.61
Odisha 150807 19425 14.79 118642 78.67 31486 679 57 9.16 0.45
Assam 141763 10940 8.36 110883 78.22 30408 469 91 24.07 0.33
Gujarat 113662 6696 6.26 94110 82.80 16341 3211 77 2.46 2.83
Kerala 108279 15763 17.04 77699 71.76 30074 440 67 17.96 0.41
Rajasthan 102408 8282 8.80 84518 82.53 16654 1236 72 6.19 1.21
Haryana 93641 12582 15.52 72587 77.52 20079 975 121 14.17 1.04
Madhya Pradesh 85966 8643 11.18 64398 74.91 19840 1728 119 7.40 2.01
Punjab 79679 12132 17.96 57536 72.21 19787 2356 366 18.39 2.96
Chhattisgarh 61763 11649 23.25 27978 45.30 33246 539 132 32.43 0.87
Jharkhand 61474 6178 11.17 46583 75.78 14336 555 59 11.90 0.90
Jammu and Kashmir 54096 8171 17.79 35737 66.06 17481 878 63 7.73 1.62
Uttarakhand 31973 5879 22.53 21040 65.81 10397 414 54 15.00 1.29
Goa 24592 2962 13.69 19129 77.79 5173 290 34 13.28 1.18
Puducherry 19833 2084 11.74 14570 73.46 4878 385 48 14.24 1.94
Tripura 18929 2775 17.18 11132 58.81 7581 194 42 27.63 1.02
Himachal Pradesh 9555 1724 22.02 6099 63.83 3363 76 17 28.81 0.80
Chandigarh 7991 1619 25.41 5170 64.70 2728 90 15 20.00 1.13
Manipur 7875 673 9.34 6191 78.62 1638 46 7 17.95 0.58
Arunachal Pradesh 5961 560 10.37 4253 71.35 1698 10 1 11.11 0.17
Nagaland 5083 838 19.74 3883 76.39 1172 8 0 0.00 0.16
Meghalaya 3724 648 21.07 2075 55.72 1623 26 9 52.94 0.70
Andaman and Nicobar Islands 3546 154 4.54 3243 91.46 252 51 1 2.00 1.44
Ladakh 3345 243 7.83 2436 72.83 869 40 5 14.29 1.20
Dadra and Nagar Haveli and Daman and Diu 2721 108 4.13 2460 90.41 230 2 0 0.00 0.07
Sikkim 2086 128 6.54 1505 72.15 565 16 9 128.57 0.77
Mizoram 1414 291 25.91 830 58.70 584 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1822993 103339 265 0.26 5.67 252 28 8789 16899 16.35
Piemonte 638051 33753 82 0.24 5.29 100 8 2097 4153 12.30
Emilia-Romagna 1025932 33504 143 0.43 3.27 156 17 3939 4469 13.34
Veneto 1711508 24809 142 0.58 1.45 95 14 2967 2142 8.63
Lazio 720433 13123 143 1.10 1.82 424 17 4755 885 6.74
Toscana 630201 13114 91 0.70 2.08 80 17 2459 1149 8.76
Liguria 266435 11852 78 0.66 4.45 115 11 1143 1579 13.32
Campania 498723 9125 122 1.36 1.83 271 19 3941 451 4.94
Marche 224119 7550 39 0.52 3.37 14 2 520 989 13.10
Puglia 349719 6449 82 1.29 1.84 195 9 1678 570 8.84
P.A. Trento 204287 5501 9 0.16 2.69 9 0 442 405 7.36
Sicilia 400678 5241 61 1.18 1.31 120 17 1793 290 5.53
Friuli Venezia Giulia 360701 4157 45 1.09 1.15 23 2 589 349 8.40
Abruzzo 175854 4015 37 0.93 2.28 41 3 579 472 11.76
P.A. Bolzano 151122 3128 40 1.30 2.07 8 0 296 292 9.34
Sardegna 158080 2874 33 1.16 1.82 80 14 1404 140 4.87
Umbria 176517 2066 24 1.18 1.17 19 4 438 81 3.92
Calabria 175025 1715 14 0.82 0.98 29 3 395 98 5.71
Valle d’Aosta 26489 1260 2 0.16 4.76 3 0 36 146 11.59
Basilicata 63771 613 3 0.49 0.96 5 1 156 28 4.57
Molise 37480 565 3 0.53 1.51 3 1 93 23 4.07

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 64707 244 0.38 5780 6 0.1 8.93 7579.00 677.00 1 in 132
Ontario 46323 205 0.44 2863 0 0.0 6.18 3148.69 194.61 1 in 318
Alberta 15415 0 0.00 253 0 0.0 1.64 3492.97 57.33 1 in 286
British Columbia 6962 0 0.00 213 0 0.0 3.06 1362.18 41.68 1 in 734
Saskatchewan 1709 21 1.24 24 0 0.0 1.40 1446.26 20.31 1 in 691
Manitoba 1410 17 1.22 16 0 0.0 1.13 1023.58 11.62 1 in 977
Nova Scotia 1086 0 0.00 65 0 0.0 5.99 1111.05 66.50 1 in 900
Newfoundland and Labrador 271 1 0.37 3 0 0.0 1.11 519.79 5.75 1 in 1924
New Brunswick 193 0 0.00 2 0 0.0 1.04 247.44 2.56 1 in 4041
Prince Edward Island 55 0 0.00 0 0 NaN 0.00 347.75 0.00 1 in 2876
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4938 100 2.03
Guangdong 1777 8 0.45
Zhejiang 1280 1 0.08
Henan 1277 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Shanghai 942 7 0.74
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 665 3 0.45
Chongqing 584 6 1.03
Fujian 388 1 0.26
Shaanxi 381 3 0.79
Hebei 365 6 1.64
Liaoning 264 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 258 2 0.78
Tianjin 234 3 1.28
Shanxi 203 0 0.00
Yunnan 201 2 1.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 19820.34 591.97 1 in 50
India 3550.68 58.69 1 in 282
Brazil 20619.62 626.90 1 in 48
Russia 7291.79 127.52 1 in 137
Peru 22277.59 947.16 1 in 45
Colombia 14448.01 463.30 1 in 69
Mexico 5139.11 546.47 1 in 195
South Africa 11428.31 271.99 1 in 88
Spain 12137.29 637.53 1 in 82
Argentina 12344.27 254.42 1 in 81
Chile 23970.42 659.00 1 in 42
France 6013.00 461.29 1 in 166
Iran 4927.80 283.75 1 in 203
United Kingdom 5532.69 627.81 1 in 181
Bangladesh NA NA 1 in NA
Saudi Arabia 9867.94 128.72 1 in 101
Pakistan 1530.36 32.38 1 in 653
Turkey 3584.15 86.61 1 in 279
Iraq 7493.55 207.50 1 in 133
Italy 4733.75 588.67 1 in 211

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 253176 6197 2.45
Miami-Dade Florida 163790 2882 1.76
Maricopa Arizona 137292 3158 2.30
Cook Illinois 134352 5128 3.82
Harris Texas 115149 2414 2.10
Dallas Texas 75052 1043 1.39
Broward Florida 74273 1279 1.72
Queens New York 71040 7231 10.18
Kings New York 66124 7306 11.05
Clark Nevada 62402 1259 2.02
Riverside California 55073 1103 2.00
Bronx New York 52186 4931 9.45
Orange California 50760 1093 2.15
San Bernardino California 50543 814 1.61
Bexar Texas 48198 1200 2.49
Nassau New York 45633 2199 4.82
Suffolk New York 45615 2008 4.40
Tarrant Texas 44140 660 1.50
Palm Beach Florida 43873 1196 2.73
San Diego California 42414 734 1.73
Hillsborough Florida 39298 585 1.49
Orange Florida 37846 409 1.08
Westchester New York 37486 1452 3.87
Philadelphia Pennsylvania 35094 1770 5.04
Wayne Michigan 33251 2941 8.84
New York New York 32643 3176 9.73
Kern California 30563 322 1.05
Hidalgo Texas 29335 1381 4.71
Shelby Tennessee 28626 421 1.47
Duval Florida 28370 319 1.12
Prince George’s Maryland 27589 810 2.94
Travis Texas 27578 403 1.46
Fresno California 26917 337 1.25
Mecklenburg North Carolina 26781 331 1.24
Middlesex Massachusetts 26138 2102 8.04
Fulton Georgia 26108 554 2.12
Salt Lake Utah 25814 242 0.94
Gwinnett Georgia 25726 372 1.45
Milwaukee Wisconsin 25440 513 2.02
Davidson Tennessee 25097 277 1.10
Hennepin Minnesota 24611 903 3.67
Franklin Ohio 24419 579 2.37
Suffolk Massachusetts 23130 1116 4.82
Pima Arizona 22357 602 2.69
Cameron Texas 21983 841 3.83
Bergen New Jersey 21935 2041 9.30
St. Louis Missouri 21588 768 3.56
El Paso Texas 21559 479 2.22
Montgomery Maryland 21089 834 3.95
Pinellas Florida 20872 701 3.36
King Washington 20774 744 3.58
Essex New Jersey 20633 2123 10.29
Hudson New Jersey 20362 1512 7.43
Sacramento California 20063 350 1.74
Alameda California 19837 320 1.61
Marion Indiana 19654 754 3.84
Nueces Texas 19557 385 1.97
Fairfax Virginia 19495 568 2.91
Lee Florida 19451 448 2.30
Santa Clara California 19417 280 1.44
Fairfield Connecticut 19360 1418 7.32
Oakland Michigan 19348 1184 6.12
San Joaquin California 19019 383 2.01
Middlesex New Jersey 18814 1422 7.56
Essex Massachusetts 18643 1258 6.75
Passaic New Jersey 18640 1249 6.70
Cobb Georgia 18433 410 2.22
Polk Florida 18337 488 2.66
Providence Rhode Island 17500 0 0.00
DeKalb Georgia 17477 335 1.92
Union New Jersey 17299 1354 7.83
Jefferson Alabama 17277 310 1.79
Jefferson Louisiana 16974 559 3.29
Baltimore Maryland 16648 610 3.66
Cuyahoga Ohio 16630 621 3.73
Out of GA Georgia 16586 143 0.86
Wake North Carolina 16219 213 1.31
DuPage Illinois 15938 543 3.41
Stanislaus California 15926 310 1.95
Lake Illinois 15700 478 3.04
Richmond New York 15565 1084 6.96
Fort Bend Texas 15423 266 1.72
Baltimore City Maryland 15183 472 3.11
Tulare California 15114 247 1.63
Contra Costa California 15058 189 1.26
Tulsa Oklahoma 15048 144 0.96
Oklahoma Oklahoma 15021 174 1.16
Charleston South Carolina 14699 252 1.71
Polk Iowa 14618 252 1.72
Rockland New York 14530 674 4.64
East Baton Rouge Louisiana 14507 430 2.96
District of Columbia District of Columbia 14493 616 4.25
Douglas Nebraska 14416 173 1.20
New Haven Connecticut 13961 1110 7.95
Hartford Connecticut 13886 1430 10.30
Worcester Massachusetts 13807 1073 7.77
Macomb Michigan 13673 1002 7.33
Jefferson Kentucky 13579 289 2.13
Richland South Carolina 13375 215 1.61
Greenville South Carolina 13115 279 2.13

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc